Jiapan Guo

Jiapan Guo is a Tenure Track Assistant Professor at the University of Groningen, affiliated with the Faculty of Science and Engineering's Intelligent Systems — Bernoulli Institute. His expertise lies in machine learning, pattern recognition, and medical image analysis. He holds dual roles as a Researcher in the Machine Learning Lab - Data Science Center in Health (DASH) and the Department of Radiation Oncology at the UMCG. His research focuses on applying deep learning to medical imaging challenges, particularly in oncology outcomes prediction and agricultural automation.

Key areas of research include developing advanced algorithms for PET/CT image analysis, tumor segmentation, and real-time object detection in complex environments. He collaborates across disciplines to bridge computer science and healthcare, contributing to clinical decision support systems. Publications highlight innovations in multi-modal imaging, radiomics, and lightweight YOLO models optimized for agricultural applications.